Job
- Level
- Junior
- Job Field
- BI
- Employment Type
- Part Time/Full Time
- Contract Type
- Internship / school internship
- Location
- Ulm
- Working Model
- Onsite
Job Summary
In this role, you will develop an integrated performance reporting system using Power BI, create a dashboard for KPI analysis, and assist with structured data integration to enhance decision-making processes.
Job Technologies
Your role in the team
- What do aircraft, trains, and military (air) vehicles have in common? They are equipped with increasingly complex, safety-critical electronic systems. SPHEREA's test systems ensure the mobility and safety of these complex systems even tomorrow. Would you also like to help keep these systems safe? Then become part of our young, dynamic, and excellent team.
- Management decisions require an integrated view of operational performance and financial results. In practice, however, the reporting landscape is often fragmented: data is available in different systems but is evaluated in a function-specific and isolated manner without a company-wide, consistent link between operational key figures and financial results. As a result, cause-and-effect relationships along central business processes remain opaque, and strategic control impulses can only be derived to a limited extent. The aim of this thesis is therefore to develop an integrated performance reporting concept based on Power BI. The central challenge here is not primarily technical data integration, but rather the conceptual transfer of business processes into a control-relevant reporting logic.
- The objective of this master's thesis is the implementation of an integrated Power BI-based performance dashboard that establishes a consolidated management view across the organization. The thesis includes the identification and integration of relevant data sources, the development of a structured and scalable data model, and the definition of clear KPI calculation logic aligned with business objectives.
- The resulting dashboard must fulfill two essential requirements:
- It must provide a clear and structured executive-level overview of company performance.
- It must allow drill-down capabilities from aggregated KPIs down to underlying processes, enabling root-cause analysis and performance steering.
- The final outcome will be a functional and decision-oriented reporting solution that creates transparency across departments and provides a robust analytical foundation for management decisions.
This text has been machine translated. Show original
Our expectations of you
Qualifications
- Study with focus on Business Science/ Business Information Systems/ Business Intelligence/ Data Science/ Data Analytics/ Statistics/ or similar
- Fundamentals of data modeling/information structuring
- Advanced knowledge of data analysis and modeling (Power BI, DAX, visualization best practices)
- Basic programming skills (Excel VBA, Python, R, or comparable tools)
- Strong technical and business-oriented understanding
- Understanding of business KPIs and financial logic
- Ability to work independently and in a structured manner
- Strong analytical skills and solution-oriented mindset
- Independence and proactivity
- Ability to quickly understand complex topics
This text has been machine translated. Show original
What we offer
- Integration into our team - not just "the student".
- Insights into the processes of a medium-sized company
- Exciting and challenging tasks in a technical environment
- A growth-oriented company with attractive entry opportunities
- A mentor and individual support
- A dynamic team with an excellent working atmosphere
- A modern, attractive location with innovative laboratory and office space
This text has been machine translated. Show original
Job Locations
This is your employer
Spherea GmbH
SPHEREA's history began in the electronic department of Aerospatiale Aircraft division (notably produced the first automatic test bench for Concorde), Aerospatiale Missiles and Sextant Avionics companies.
Description
- Company Type
- Established Company
- Working Model
- Onsite
- Industry
- Industry, Production
Bachelor's or Master's Thesis in Data Analytics / Business Intelligence
- Location
- Ulm
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
